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Journal of Imaging, Volume 8, Issue 4

April 2022 - 36 articles

Cover Story: Modern deep neural networks are well known to be weak in the face of unknown data instances. Avoiding false predictions by identifying substantially different data from what has been seen during training remains a challenge. Although it is inevitable for continual-learning systems to encounter unseen concepts, the corresponding literature primarily focuses on preventing the catastrophic forgetting of learned representations. We bridge this gap by introducing the open variational auto-encoder (OpenVAE). OpenVAE unifies the detection of unseen, unknown, out-of-distribution data and the preservation of already acquired knowledge in continual training for robust application. View this paper.
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Articles (36)

  • Article
  • Open Access
1 Citations
2,707 Views
15 Pages

Recent advances in object detection play a key role in various industrial applications. However, a fully convolutional one-stage detector (FCOS), a conventional object detection method, has low detection accuracy given the calculation cost. Thus, in...

  • Article
  • Open Access
8 Citations
4,180 Views
18 Pages

It is necessary to establish the relative performance of established optical flow approaches in airborne scenarios with thermal cameras. This study investigated the performance of a dense optical flow algorithm on 14 bit radiometric images of the gro...

  • Article
  • Open Access
7 Citations
3,095 Views
22 Pages

The purpose of this paper is to find the best way to track human subjects in fisheye images by considering the most common similarity measures in the function of various color spaces as well as the HOG. To this end, we have relied on videos taken by...

  • Article
  • Open Access
11 Citations
4,336 Views
22 Pages

Dimensionality reduction techniques are often used by researchers in order to make high dimensional data easier to interpret visually, as data visualization is only possible in low dimensional spaces. Recent research in nonlinear dimensionality reduc...

  • Article
  • Open Access
11 Citations
4,253 Views
18 Pages

Resources and Power Efficient FPGA Accelerators for Real-Time Image Classification

  • Angelos Kyriakos,
  • Elissaios-Alexios Papatheofanous,
  • Charalampos Bezaitis and
  • Dionysios Reisis

A plethora of image and video-related applications involve complex processes that impose the need for hardware accelerators to achieve real-time performance. Among these, notable applications include the Machine Learning (ML) tasks using Convolutiona...

  • Review
  • Open Access
63 Citations
10,290 Views
12 Pages

Spectral Photon-Counting Computed Tomography: A Review on Technical Principles and Clinical Applications

  • Mario Tortora,
  • Laura Gemini,
  • Imma D’Iglio,
  • Lorenzo Ugga,
  • Gaia Spadarella and
  • Renato Cuocolo

Photon-counting computed tomography (CT) is a technology that has attracted increasing interest in recent years since, thanks to new-generation detectors, it holds the promise to radically change the clinical use of CT imaging. Photon-counting detect...

  • Article
  • Open Access
9 Citations
3,474 Views
8 Pages

Minor salivary gland ultra-high frequency ultrasonography (UHFUS) has recently been introduced for the evaluation of patients with suspected primary Sjögren’s Syndrome (pSS). At present, ultrasonographic assessment of major salivary glands...

  • Article
  • Open Access
6 Citations
4,322 Views
21 Pages

The effortless detection of salient objects by humans has been the subject of research in several fields, including computer vision, as it has many applications. However, salient object detection remains a challenge for many computer models dealing w...

  • Article
  • Open Access
3 Citations
5,265 Views
20 Pages

Tracking Highly Similar Rat Instances under Heavy Occlusions: An Unsupervised Deep Generative Pipeline

  • Anna Gelencsér-Horváth,
  • László Kopácsi,
  • Viktor Varga,
  • Dávid Keller,
  • Árpád Dobolyi,
  • Kristóf Karacs and
  • András Lőrincz

Identity tracking and instance segmentation are crucial in several areas of biological research. Behavior analysis of individuals in groups of similar animals is a task that emerges frequently in agriculture or pharmaceutical studies, among others. A...

  • Article
  • Open Access
6 Citations
4,580 Views
29 Pages

Multi-Stage Platform for (Semi-)Automatic Planning in Reconstructive Orthopedic Surgery

  • Florian Kordon,
  • Andreas Maier,
  • Benedict Swartman,
  • Maxim Privalov,
  • Jan Siad El Barbari and
  • Holger Kunze

Intricate lesions of the musculoskeletal system require reconstructive orthopedic surgery to restore the correct biomechanics. Careful pre-operative planning of the surgical steps on 2D image data is an essential tool to increase the precision and sa...

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J. Imaging - ISSN 2313-433XCreative Common CC BY license